AI/ML Engineer
Core
Design, develop, and deploy advanced AI solutions in enterprise contexts, focusing on scalable RAG architectures, agentic orchestration, and Generative AI applications.
Role type
Senior AI/ML Engineer (Enterprise)
Builds
Scalable AI systems, RAG architectures, multi-agent workflows, and AI-ready APIs for enterprise integration.
Domain
Enterprise AI, Generative AI, Large Language Models (LLM)
Deliverable
production ML models
Required skills
Python, Machine Learning, Deep Learning, RAG architecture design, agentic orchestration, LLM integration, MLOps, cloud architecture
Preferred skills
LangChain, LlamaIndex, Hugging Face, PyTorch, TensorFlow, managed AI services
Responsibilities
Design and implement RAG architectures for integrating LLMs with enterprise knowledge bases; Develop and deploy multi-step, multi-agent agentic workflows; Build and maintain AI-ready services and APIs; Monitor production model performance, quality, and reliability; Apply MLOps best practices for testing, versioning, and governance.
Seniority
Senior, hands-on IC